Robert L. Martuza

20.0k citations
173 papers · 13.4k indexed · 5 hit papers · h-index 60
Topics
Virus-based gene therapy research (75 papers)Herpesvirus Infections and Treatments (49 papers)Neurofibromatosis and Schwannoma Cases (49 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Robert L. Martuza

172 papers receiving 13.0k citations

Hit Papers

Meningioma: analysis of recurrence and progression follow...198520261998201219851991199520171986250500750

Peers

Robert L. Martuza
Comparison fields: 5 of 128
  • Genetics 6.1k
  • Epidemiology 5.4k
  • Molecular Biology 5.0k
  • Oncology 4.7k
  • Neurology 3.1k
Replace James M. Markert with:
James M. Markert United States
Tomoki Todo Japan
Hiroaki Wakimoto United States
E. Antonio Chiocca United States
Brenda L. Gallie Canada
Anat Stemmer‐Rachamimov United States
K C Gatter United Kingdom
Ulrich Herrlinger Germany
Peter Marynen Belgium
Cheryl A. Palmer United States
Robert L. Martuza relative to James M. Markert United States James M. Markert's profile →
Citations per field
00.5×4.7×
James M. Markert · 1×
Citations per year

Countries citing papers authored by Robert L. Martuza

Since Specialization
Citations

This map shows the geographic impact of Robert L. Martuza's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert L. Martuza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Martuza more than expected).

Fields of papers citing papers by Robert L. Martuza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Martuza. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert L. Martuza. The network helps show where Robert L. Martuza may publish in the future.

Co-authorship network of co-authors of Robert L. Martuza

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Martuza. A scholar is included among the top collaborators of Robert L. Martuza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert L. Martuza. Robert L. Martuza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 10
3 77
4 37
5 83
6 12
7 59
8 37
9 6
10 197
11 29
12 70
13 68
14 26
15 279
16 135
17 36
18 76
19 56
20
Neurofibromatosis type 2 appears to be a genetically homogeneous disease.
41

About Robert L. Martuza

Robert L. Martuza is a scholar working on Neurology, Genetics and Epidemiology, having authored 173 papers that have together received 13.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (75 papers), Herpesvirus Infections and Treatments (49 papers) and Neurofibromatosis and Schwannoma Cases (49 papers). The work is most often cited by research in Genetics (6.1k citations), Neurology (3.1k citations) and Oncology (4.7k citations). Robert L. Martuza has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Samuel D. Rabkin, Robert G. Ojemann, Bernd R. Seizinger, Manish K. Aghi, Hiroaki Wakimoto, James F. Gusella, Tomoki Todo, Amy Malick, Dipongkor Saha and Toshihiro Mineta. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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